Nutritional Risk Screening and Body Composition in COVID-19 Patients Hospitalized in an Internal Medicine Ward.

BACKGROUND: Malnutrition in patients hospitalized in internal medicine wards is highly prevalent and represents a prognostic factor of worse outcomes. Previous evidence suggested the prognostic role of the nutritional status in patients affected by the coronavirus disease 2019 (COVID-19). We aim to investigate the nutritional risk in patients with COVID-19 hospitalized in an internal medicine ward and their clinical outcomes using the Nutritional Risk Screening 2002 (NRS-2002) and parameters derived from bioelectrical impedance analysis (BIA). METHODS: Retrospective analysis of patients with COVID-19 aimed at exploring: 1) the prevalence of nutritional risk with NRS-2002 and BIA; 2) the relationship between NRS-2002, BIA parameters and selected outcomes: length of hospital stay (LOS); death and need of intensive care unit (ICU); prolonged LOS; and loss of appetite. RESULTS: Data of 90 patients were analyzed. Patients at nutritional risk were 92% with NRS-2002, with BIA-derived parameters: 88% by phase angle; 86% by body cell mass; 84% by fat-free mass and 84% by fat mass (p-value ≤0.001). In ROC analysis, NRS had the maximum sensitivity in predicting the risk of death and need of ICU and a prolonged hospitalization showing moderate-low specificity; phase angle showed a good predictive power in terms of AUC. NRS-2002 was significantly associated with LOS (ß 12.62, SE 5.79). In a multivariate analysis, blood glucose level and the early warning score are independent predictors of death and need of ICU (OR 2.79, p ≤0.001; 1.59, p-0.029, respectively). CONCLUSION: Present findings confirm the clinical utility of NRS-2002 to assess nutritional risk in patients with COVID-19 at hospital admission and in predicting LOS, and that bioimpedance does not seem to add further predictive value. An early detection of nutritional risk has to be systematically included in the management of COVID-19 patients hospitalized in internal medicine wards.

Nutritional status in older persons according to healthcare setting: A systematic review and meta-analysis of prevalence data using MNA®.

BACKGROUND & AIMS: Old persons are more likely to suffer from malnutrition, which may result in higher dependency in activities of daily living. We aimed to provide a quantitative synthesis of prevalence data on malnutrition and its risk as assessed by the Mini Nutritional Assessment across different healthcare settings. The association between nutritional status and setting-related level of dependence was also investigated. METHODS: Non-interventional studies published as full-text articles in English up to 31th December 2014 were searched for in PubMed and by reviewing references of eligible articles. Meta-analysis and meta-regression of potential sources of heterogeneity were conducted. RESULTS: A total of 240 studies/795 citations - providing 258 setting-specific prevalence estimates (113,967 subjects) - fulfilled inclusion criteria for meta-analysis. Prevalence of malnutrition differed significantly across the healthcare settings considered: community, 3.1% (95%CI, 2.3-3.8); outpatients, 6.0% (95%CI, 4.6-7.5); home-care services, 8.7% (95%CI, 5.8-11.7); hospital, 22.0% (95%CI, 18.9-22.5); nursing homes, 17.5% (95%CI, 14.3-20.6); long-term care, 28.7% (95%CI, 21.4-36.0); rehabilitation/sub-acute care, 29.4% (95%CI, 21.7-36.9). For every setting significant heterogeneity in individual study results was observed (I2 ≥80%, P < 0.001) and meta-regression showed that study quality was the most important determinant. Finally, meta-regression of all the studies included showed that both malnutrition and its risk were directly associated with the setting-related level of dependence (P < 0.001). However, despite multiple adjustments, residual heterogeneity remained high. CONCLUSION: We provided updated estimates of malnutrition and its risk in different healthcare settings. Although the level of dependence appears to be an important determinant, heterogeneity in individual study results remained substantially unexplained. The cause-effect relationship between nutritional status and level of dependence deserves further investigation.

Nutritional counseling improves quality of life and preserves body weight in systemic immunoglobulin light-chain (AL) amyloidosis.

OBJECTIVE: Malnutrition is associated with mortality and impaired quality of life (QoL) in systemic immunoglobulin light-chain (AL) amyloidosis. The aim of this study was to determine whether nutritional counseling is beneficial to patients with AL. METHODS: In this intervention study (ClinicalTrials.gov Identifier: NCT02055534), 144 treatment-naïve outpatients with AL were randomized to usual care (UC; n = 72) and nutritional counseling (NC; n = 72). RESULTS: In the randomized population, although patients in the NC group maintained a stable body weight (weight loss [WL] = 0.6 kg; 95% confidence interval [CI], -1.0 to 2.1; P = 0.214), those in the UC group demonstrated a significant decrease (WL = 2.1 kg; 95% CI, 0.2-4.1; P = 0.003). However, the difference in weight between groups was not significant (mean WL difference = 1.6 kg; 95% CI, -0.7 to 3.9; P = 0.179). Patients in the NC group demonstrated more satisfactory energy intake (≥75% of estimated requirements, odds ratio, 2.18; 95% CI, 1.04-4.57; P = 0.048) and a significant increase in the mental component summary of QoL (Short form-36) at 12 mo (mean difference, 8.1; 95% CI, 2.3-13.9; P = 0.007), which was restored to a mean score of 53 (95% CI, 50-53), over the healthy population norms. NC was also associated with better survival (crude hazard ratio, 0.57; 95% CI, 0.35-0.94; P = 0.028). CONCLUSIONS: In outpatients with AL, NC was helpful in preserving body weight, effective in improving mental QoL, and associated with better survival.

The Geriatric Nutritional Risk Index predicts hospital length of stay and in-hospital weight loss in elderly patients.

BACKGROUND & AIMS: Nutritional derangements are common in elderly patients, but how nutritional risk affects outcome in this subset of hospital inpatients deserves further investigation. We evaluated the impact of nutritional risk on length of stay (LOS) and in-hospital weight loss (WL) in elderly patients (>65 yrs). METHODS: Nutritional risk was assessed by the Geriatric Nutritional Risk Index (GNRI) in a prospective multicentre hospital-based cohort study. The outcomes were LOS and in-hospital WL. RESULTS: In the whole sample (N = 667), the prevalence of high (GNRI < 92) and mild (GNRI: 92-98) nutritional risk were 33% and 25%, respectively. Patients with a high nutritional risk were more likely (OR = 1.89; 95%CI: 1.22-2.92) to stay longer in hospital (fourth quartile, LOS ≥ 20 days) compared to those without. Other factors associated with prolonged LOS were cancer diagnosis (OR = 2.52; 95%CI: 1.69-3.75), the presence of comorbidities (OR = 1.24; 95%CI: 1.11-1.40) and surgical setting (OR = 1.65; 95%CI: 1.10-2.47). In-hospital WL ≥ 5% was recorded in 75 ambulant patients from a representative subgroup (N = 583). It was independently associated with prolonged LOS (OR = 1.80; 95%CI: 1.03-3.06) and was more frequent among cancer patients (OR = 1.88; 95%CI: 1.09-3.24), in patients with a high nutritional risk (OR = 2.23; 95%CI: 1.20-4.14) or those admitted to surgical units (OR = 1.77; 95%CI: 1.02-3.05). CONCLUSIONS: Nutritional risk assessed by the GNRI on admission, predicts LOS and in-hospital WL in elderly patients.

Phase angle and handgrip strength are sensitive early markers of energy intake in hypophagic, non-surgical patients at nutritional risk, with contraindications to enteral nutrition.

The assessment of nutritional intakes during hospitalization is crucial, as it is known that nutritional status tends to worsen during the hospital stay, and this can lead to the negative consequences of malnutrition. International guidelines recommend the use of parenteral nutrition (PN) in hypophagic, non-surgical patients at nutritional risk, with contraindications to enteral nutrition. However, to date, there are no published data regarding either energy intake or objective measurements associated with it in this patient population. The aim of the present exploratory methodological study was to evaluate whether phase angle (PhA) and handgrip strength normalized for skeletal muscle mass (HG/SMM) are sensitive early markers of energy intake in hypophagic, non-surgical patients at nutritional risk, with contraindications to enteral nutrition. We evaluated 30 eligible patients, who were treated with personalized dietary modifications and supplemental PN for at least one week during hospitalization. In a liner regression model adjusted for age, gender, basal protein intake and the basal value of each variable, a trend toward improvement of PhA and preservation of HG/SMM was observed in patients satisfying the estimated calorie requirements (N = 20), while a significant deterioration of these parameters occurred in those who were not able to reach the target (N = 10). The mean adjusted difference and 95% CI were +1.4° (0.5-2.3) (p = 0.005) for PhA and +0.23 (0.20-0.43) (p = 0.033) for HG/SMM. A significant correlation between PhA and HG/SMM variations was also observed (r = 0.56 (95% CI, 0.23-0.77); p = 0.0023). PhA and HG/SMM were able to distinguish between hypophagic, non-surgical patients at nutritional risk who satisfied their estimated caloric requirements and those who did not after a one-week personalized nutritional support. Clinical studies are warranted, in order to verify these preliminary observations and to validate the role of PhA variations as early markers of anabolic/catabolic fluctuations.

Malnutrition at diagnosis predicts mortality in patients with systemic immunoglobulin light-chain amyloidosis independently of cardiac stage and response to treatment.

BACKGROUND: Nutrition status was shown to be a prognostic factor in patients with immunoglobulin light-chain amyloidosis (AL). However, malnutrition was associated with cardiac involvement, thus suggesting potential interactions. This study aim was to clarify the association among nutrition status, cardiac stage, and mortality in AL. METHODS: One hundred twenty-eight consecutive newly diagnosed, treatment-naïve patients with histologically confirmed AL were enrolled. Anthropometric, biochemical, and clinical variables were assessed. RESULTS: At multivariable Cox proportional hazard analysis, body mass index (BMI) < 22 kg/m(2) (HR = 1.98, 95% CI = 1.09-3.56) and unintentional 6-month weight loss (WL) ≥ 10% (HR = 1.94, 95% CI = 1.00-3.74) resulted in independent predictors of survival after controlling for hematologic response to treatment (HR = 0.27, 95% CI = 0.14-0.53) and cardiac stage (Mayo Clinic stage III, HR = 4.42, 95% CI = 2.61-7.51). There was no effect modification of malnutrition on mortality by cardiac stage (P for interaction = .27). Moderate and severe malnutrition (prevalence: 21.9% and 7.8%, respectively) similarly increased the risk of death (HR = 3.09, 95% CI = 1.75-5.46; 2.88, 95% CI = 1.23-6.72, respectively). CONCLUSIONS: In AL, malnutrition at diagnosis is a frequent comorbidity that affects the prognosis independently of hematologic response to treatment and cardiac stage. Nutrition status should be systematically considered in future intervention trials in AL. Nutrition support trials are warranted.

Serum prealbumin: an independent marker of short-term energy intake in the presence of multiple-organ disease involvement.

OBJECTIVE: Serum prealbumin has a prognostic value in several diseases, but its serum levels can be influenced by different factors. However, a multivariable analysis to test the independent effect of each has not yet, to our knowledge, been performed. The aim of this cross-sectional study was to investigate the association between prealbumin and several factors possibly affecting its serum levels to test the potential of using prealbumin as an indicator of nutritional status and short-term energy intake in patients newly diagnosed with immunoglobulin light-chain amyloidosis. METHODS: Multivariable general linear regression models of non-collinear variables were fitted to assess the association of demographic (sex, age), nutritional (short-term energy intake, unintentional weight loss, body mass index), and clinical (cardiac and liver involvement, kidney function, C-reactive protein) parameters with serum prealbumin levels in 187 patients newly diagnosed with immunoglobulin light-chain amyloidosis. RESULTS: Serum prealbumin levels were associated with C-reactive protein and short-term energy intake (P < 0.001 for both). A significant association was also detected with age (P = 0.023), serum creatinine (P = 0.017), liver involvement (P = 0.002), and peripheral edema (P = 0.032). In a prespecified subgroup analysis (n = 140) in patients with normal C-reactive protein level (<0.5 mg/dL), all other associations were confirmed. A significant relation was also observed with sex (P = 0.022) and body mass index (P = 0.041). CONCLUSIONS: Serum prealbumin is associated with short-term energy intake independently of the presence of multiple-organ involvement and inflammation. Its serum levels should be always interpreted in light of its influencing factors, among which inflammation and liver and kidney functions appear predominant.

Gestational diabetes mellitus: including serum pregnancy-associated plasma protein-A testing in the clinical management of primiparous women? A case-control study.

AIMS: To assess pregnancy-associated plasma protein A (PAPP-A) correlation with GDM and its usefulness in predicting GDM in primiparous women. METHODS: First trimester data related to 307 pregnant women affected by GDM and 366 control pregnant women were retrieved from a computer data base and integrated with ad hoc data. Clinical data were recorded at delivery. A logistic model was used to analyze the association between first trimester data and subsequent clinical outcomes. We derived a risk score using both classical risk factors for GDM and PAPP-A. RESULTS: Diabetic and control women were significantly different in terms of age (p<0.001), BMI (p<0.001), weight (p<0.001), family history of diabetes (p<0.001), PAPP-A concentration and PAPP-A corrected multiple of the median (MoM) (p<0.001). The ROC-AUC of the clinical risk score was 0.60 (95%CI 0.56-0.64), the adjusted score including PAPP-A MoM was 0.70 (95%CI 0.66-0.74). CONCLUSIONS: Low PAPP-A was strongly associated with GDM and lower values were found in diabetic women needing insulin therapy. Adding PAPP-A to first trimester screening could improve the prediction of women at high risk who will develop GDM. Further studies are needed to validate the applicability of our findings in different populations and settings.